Identifying metal coupon types with Visual Classification
Identifying metal coupon types with Visual Classification The Challenge A leading specialist in water treatment needs to build a mobile application to capture images of metal coupons planted in RO systems and detect their composition. Further identification of corrosion types per composition will be executed. Tatras has been given the responsibility to build a ML […]
Smart Storage Forecasting: Optimizing Reorders Based on Tank Usage Patterns
Smart Storage Forecasting Optimizing Reorders Based on Tank Usage Patterns The Challenge A leading specialist in water treatment needed a predictive system that determines the optimal reorder time for tank-stored chemicals, balancing complex constraints. These include batch-only ordering, strict tank level limits, and a 28-day delivery lead time. The system must accurately forecast consumption patterns […]
A vision-based AI system for detecting corrosion in metal alloys
A vision-based AI system for detecting corrosion in metal alloys The Challenge A leading specialist in water treatment needed a method to identify tank maintenance at customer sites to increase proactive maintenance of their infrastructure. The current process was time consuming and often led to costly errors. The solution was a mobile application to capture […]
AI for Independent Authoring using LLMs with augmented knowledge bases
AI for Independent Authoring using LLMs with augmented knowledge bases The Challenge A leading platform for supporting independent authors attaining better outcomes for the books they publish, recognized the need for technology to scale their business. In particular, transforming authors into authorpreneurs was identified as one of the key deficiencies in an independent author’s journey […]
Candidate Ranking using a Job Description using Neural Networks
Candidate Ranking using a Job Description using Neural Networks The Challenge It is challenging to source candidates for a given job profile especially when it comes to leadership roles for an organization. One has to align the candidate personal and leadership skills to see whether he/she is a right fit for the organization. We use […]
Transcription to Job Requirement Matching using LLMs and NLP
Transcription to Job Requirement Matching using LLMs and NLP The Challenge An important part of the recruitment process is the interview. An inherently manual process, Tatras aimed to automate the reporting on interviews by analyzing candidate interview transcripts to improve consistency and accuracy in reporting of candidate fit. It allows for the identification of any […]
Root Cause Analysis for deviation in fault rate in high precision Manufacturing
Root Cause Analysis for deviation in fault rate in high precision Manufacturing The Challenge Our client, a global leader in data storage solutions, had a problem in their manufacturing unit. They were experiencing high variance in failure rate of disks produced, from one day to the next. This caused losses due to scrapping as well […]
Document Vetting for Credit Risk using Open Source LLMs
Document Vetting for Credit Risk using Open Source LLMs The Challenge A financial institution faced challenges with a cumbersome and costly process to validate bank statements for loans and credit. This included checks for monthly transactions, a three-month transaction history, recent activity, and meeting specified minimum account balance requirements. Tatras created a GenAI based streamlined […]
Customer Segmentation based Customized Product Recommendation using Unsupervised Learning and LLMs
Customer Segmentation based Customized Product Recommendation using Unsupervised Learning and LLMs The Challenge A financial institution aimed to group customers based on diverse characteristics such as demographics, behaviors, hobbies etc. The goal was to identify various customer segments to understand their unique traits. To address this challenge, Tatras was tasked with creating a solution using […]
Identify potential Money Laundering from transaction history using Graph Databases and LLMs
Identify potential Money Laundering from transaction history using Graph Databases and LLMs The Challenge A financial institution aims to build a system to detect money laundering patterns and unusual transactions. The challenge lies in the complexity of the problem, which goes beyond a straightforward ML-based approach. Analyzing factors such as past transactions and transaction recipients […]